Instructions to use XReyRobert/Ornith-1.0-35B-GPTQ-Pro-FOEM-4bit-g128-ns256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use XReyRobert/Ornith-1.0-35B-GPTQ-Pro-FOEM-4bit-g128-ns256 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="XReyRobert/Ornith-1.0-35B-GPTQ-Pro-FOEM-4bit-g128-ns256")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("XReyRobert/Ornith-1.0-35B-GPTQ-Pro-FOEM-4bit-g128-ns256")
model = AutoModelForMultimodalLM.from_pretrained("XReyRobert/Ornith-1.0-35B-GPTQ-Pro-FOEM-4bit-g128-ns256", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use XReyRobert/Ornith-1.0-35B-GPTQ-Pro-FOEM-4bit-g128-ns256 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "XReyRobert/Ornith-1.0-35B-GPTQ-Pro-FOEM-4bit-g128-ns256"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "XReyRobert/Ornith-1.0-35B-GPTQ-Pro-FOEM-4bit-g128-ns256",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/XReyRobert/Ornith-1.0-35B-GPTQ-Pro-FOEM-4bit-g128-ns256

SGLang

How to use XReyRobert/Ornith-1.0-35B-GPTQ-Pro-FOEM-4bit-g128-ns256 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "XReyRobert/Ornith-1.0-35B-GPTQ-Pro-FOEM-4bit-g128-ns256" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "XReyRobert/Ornith-1.0-35B-GPTQ-Pro-FOEM-4bit-g128-ns256",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "XReyRobert/Ornith-1.0-35B-GPTQ-Pro-FOEM-4bit-g128-ns256" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "XReyRobert/Ornith-1.0-35B-GPTQ-Pro-FOEM-4bit-g128-ns256",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use XReyRobert/Ornith-1.0-35B-GPTQ-Pro-FOEM-4bit-g128-ns256 with Docker Model Runner:
```
docker model run hf.co/XReyRobert/Ornith-1.0-35B-GPTQ-Pro-FOEM-4bit-g128-ns256
```

XReyRobert commited on Jun 29

Commit

b4f05c7

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1 Parent(s): 7cd7a5d

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README.md CHANGED Viewed

@@ -33,12 +33,19 @@ datasets:
 # Ornith-1.0-35B GPTQ-Pro FOEM 4-bit g128 ns256
-<p>
-  <a href="https://x.com/xreyrobert" target="_blank" rel="noopener noreferrer" class="follow-link" style="display: inline-flex; align-items: center; gap: 8px; padding: 9px 14px; border: 1px solid #111827; border-radius: 999px; background: #111827; color: #ffffff; text-decoration: none; font-weight: 700; font-size: 14px; line-height: 1;">
     <svg viewBox="0 0 24 24" fill="currentColor" aria-hidden="true" style="width: 16px; height: 16px; flex: 0 0 auto;"><path d="M18.244 2.25h3.308l-7.227 8.26 8.502 11.24H16.17l-5.214-6.817L4.99 21.75H1.68l7.73-8.835L1.254 2.25H8.08l4.713 6.231zm-1.161 17.52h1.833L7.084 4.126H5.117z"></path></svg>
     Follow @xreyrobert
   </a>
-</p>
 This is a GPTQ-Pro 4-bit quantization of
 [`deepreinforce-ai/Ornith-1.0-35B`](https://huggingface.co/deepreinforce-ai/Ornith-1.0-35B).

 # Ornith-1.0-35B GPTQ-Pro FOEM 4-bit g128 ns256
+<p style="margin: 10px 0 6px 0; color: #475569; font-size: 14px; line-height: 1.5;">
+  These models are built and maintained on rented GPU compute. If you want to show some appreciation, a follow on X or a coffee helps keep the releases coming.
+</p>
+<div style="display: flex; flex-wrap: wrap; align-items: center; gap: 10px; margin: 8px 0 18px 0;">
+  <a href="https://x.com/xreyrobert" target="_blank" rel="noopener noreferrer" class="follow-link" style="display: inline-flex; align-items: center; justify-content: center; gap: 8px; min-height: 36px; box-sizing: border-box; padding: 9px 14px; border: 1px solid #111827; border-radius: 999px; background: #111827; color: #ffffff; text-decoration: none; font-weight: 700; font-size: 14px; line-height: 1;">
     <svg viewBox="0 0 24 24" fill="currentColor" aria-hidden="true" style="width: 16px; height: 16px; flex: 0 0 auto;"><path d="M18.244 2.25h3.308l-7.227 8.26 8.502 11.24H16.17l-5.214-6.817L4.99 21.75H1.68l7.73-8.835L1.254 2.25H8.08l4.713 6.231zm-1.161 17.52h1.833L7.084 4.126H5.117z"></path></svg>
     Follow @xreyrobert
   </a>
+  <a href="https://buymeacoffee.com/xrrxrr" target="_blank" rel="noopener noreferrer" class="support-link" style="display: inline-flex; align-items: center; justify-content: center; gap: 8px; min-height: 36px; box-sizing: border-box; padding: 9px 14px; border: 1px solid #f59e0b; border-radius: 999px; background: #fbbf24; color: #111827; text-decoration: none; font-weight: 700; font-size: 14px; line-height: 1;">
+    Buy me a coffee
+  </a>
+</div>
 This is a GPTQ-Pro 4-bit quantization of
 [`deepreinforce-ai/Ornith-1.0-35B`](https://huggingface.co/deepreinforce-ai/Ornith-1.0-35B).